Search Results for "6x"
Sort By:
Showing 16 open source projects for "6x"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
1
revive Static Code
6x faster, stricter, configurable, and extensible
...Provides functionality for disabling a specific rule or the entire linter for a file or a range of lines. golint allows this only for generated files. Optional type checking. Most rules in golint do not require type-checking. If you disable them in the config file, revive will run over 6x faster than golint. Provides multiple formats which let us customize the output. Allows us to customize the return code for the entire linter or based on the failure of only some rules. -
2
Redpanda Console
Redpanda Console is a developer-friendly UI for managing your workload
...Supported encodings are JSON, Avro, Protobuf, XML, MessagePack, Text and Binary (hex view). The used encoding (except Protobuf) is recognized automatically. Redpanda is a Kafka®-compatible streaming data platform that is proven to be 10x faster and 6x lower in total costs. It is also JVM-free, ZooKeeper®-free, Jepsen-tested, and source available. A single binary with built-in everything. No ZooKeeper®. No JVM. Deploys in minutes. Spins up in milliseconds. Plays nice with Kubernetes and microservices. Works natively with your Kafka tools. Love streaming again! -
3
Redpanda
Redpanda is a streaming data platform for developers
Faster data. Fewer nodes. More time for coffee. Redpanda is a Kafka®-compatible streaming data platform that is proven to be 10x faster and 6x more cost-efficient. It is also JVM-free, ZooKeeper®-free, Jepsen-tested and source available. We are building a real-time streaming engine for modern applications - from the enterprise to the solo dev prototyping a react application on her laptop. We go beyond the Kafka protocol, into the future of streaming with inline WASM transforms and geo-replicated hierarchical storage. ... -
4
DeepSeed
Deep learning optimization library making distributed training easy
...With just a single GPU, ZeRO-Offload of DeepSpeed can train models with over 10B parameters, 10x bigger than the state of arts, democratizing multi-billion-parameter model training such that many deep learning scientists can explore bigger and better models. Sparse attention of DeepSpeed powers an order-of-magnitude longer input sequence and obtains up to 6x faster execution comparing with dense transformers. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
ispc
Intel SPMD Program Compiler
...Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on architectures with 4-wide vector SSE units and 5x-6x on architectures with 8-wide AVX vector units, without any of the difficulty of writing intrinsics code. Parallelization across multiple cores is also supported by ispc, making it possible to write programs that achieve performance improvement that scales by both numbers of cores and vector unit size. Build a small set of extensions to the C language that would deliver excellent performance to performance-oriented programmers. -
6
Immanuel's-Builds
This is the storage server for all my builds/tools
This is the place where i store all of my android rom build for my current device ( Xiaomi MI A2 - jasmine_sprout | Xiaomi Mi 6X-wayne | Redmi Note 5 Pro - whyred) and also my other side works like my theme engine some other stuff etc -
7
libjpeg-turbo
SIMD-accelerated libjpeg-compatible JPEG codec library
libjpeg-turbo is a JPEG image codec that uses SIMD instructions (MMX, SSE2, NEON, AltiVec) to accelerate baseline JPEG compression and decompression on x86, x86-64, ARM, and PowerPC systems. On such systems, libjpeg-turbo is generally 2-6x as fast as libjpeg, all else being equal. On other types of systems, libjpeg-turbo can still outperform libjpeg by a significant amount, by virtue of its highly-optimized Huffman coding routines. In many cases, the performance of libjpeg-turbo rivals that of proprietary high-speed JPEG codecs. libjpeg-turbo implements both the traditional libjpeg API as well as the less powerful but more straightforward TurboJPEG API. ... -
8
Hugging Face Transformer
CPU/GPU inference server for Hugging Face transformer models
Optimize and deploy in production Hugging Face Transformer models in a single command line. At Lefebvre Dalloz we run in-production semantic search engines in the legal domain, in the non-marketing language it's a re-ranker, and we based ours on Transformer. In that setup, latency is key to providing a good user experience, and relevancy inference is done online for hundreds of snippets per user query. Most tutorials on Transformer deployment in production are built over Pytorch and FastAPI.... -
9
PIXEL EXPERIENCE ANDROID 12
Pixel Experience A12 ROM for Xiaomi Mi A2/6X
-
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
-
10
-
11
-
12
Riemann Sum Calculator
Graphs the inputted function and rectangular estimators.
...Supports the following functions: sin cos tan arcsin arccos arctan ln log (base ten) and the following constants: e pi (Note: type out "pi" in the function field to use) Mimics TI-89 syntax Coefficients and parenthesis may be used to denote multiplication, but ‘coefficient multiplication’ will not work with constants. This includes pi, which is denoted by “pi” rather than the symbol. Examples: o 6x is ok o pi x is NOT ok; use pi*x o (2 - x)sin(x) is ok o sin(x)^2 is ok o sin(x)^-1 will be 1/sin(x); use arcsin(x) for the inverse of sin(x) Logarithms with bases other than e and 10 are not supported must be inputted via change of base. Like any calculator, extreme functions and sets of values may generate unusual graphs. ... -
13
JSON Iterator Java
jsoniter (json-iterator) is fast and flexible JSON parser
...If you are doing a lot of log processing or number crunching, but stuck with JSON, you definitely need to consider dsl-json or Jsoniter to save the encoding/decoding cost. Is protobuf 5x faster than JSON?. Jsoniter Golang version could be more than 6x times faster than standard lib (encoding/json). And the number is acheived with runtime reflection instead of go generate. -
14
AspeQt is the free Atari serial peripheral emulator for Qt. This program emulates various Atari 8-bit family peripherals, most notably the disk drives via an SIO2PC cable.
-
15
JavaFlashFFT generate the spectrum of a audio file (6x RT), and store the result in a XML file that will be read by the flash client to draw a realtime spectrum. Can be used as a command line tool or integrated in a servlet to dynamically serve content.
-
16
Convert courses from the free TuxRacer version .6x into the format required by the commercial version. Note this project has moved to github. See the new homepage for more information.
- Previous
- You're on page 1
- Next