State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX
Standalone, small, language-neutral
TimeGPT-1: production ready pre-trained Time Series Foundation Model
Sandbox for training deep learning networks
An Easy-to-use, Scalable and High-performance RLHF Framework
Python Client for Supabase. Query Postgres from Flask, Django
DoWhy is a Python library for causal inference
Machine learning, conversational dialog engine for creating chat bots
TensorFlow is an open source library for machine learning
Effortless data labeling with AI support from Segment Anything
NLTK Source
Single-cell analysis in Python
MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle
Easy-to-use,Modular and Extendible package of deep-learning models
The Triton Inference Server provides an optimized cloud
Build a machine learning model from a prompt
Deep learning driven jazz generation using Keras & Theano
A Python library for learning and evaluating knowledge graph embedding
The goal of CLAIMED is to enable low-code/no-code rapid prototyping
The open-source tool for building high-quality datasets
A game theoretic approach to explain the output of ml models
Practice implementing softmax, attention, GPT-2 and more
Models for the spaCy Natural Language Processing (NLP) library
A Python Package to Tackle the Curse of Imbalanced Datasets in ML
Deepfakes Software For All