PyrekP

langchain

🦜🔗 Build context-aware reasoning applications

opencv

Open Source Computer Vision Library

ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

cs-video-courses

List of Computer Science courses with video lectures.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

dify

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

netron

Visualizer for neural network, deep learning and machine learning models

fastai

The fastai deep learning library

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

llama3

The official Meta Llama 3 GitHub site

llm.c

LLM training in simple, raw C/CUDA

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

pykan

Kolmogorov Arnold Networks

Megatron-LM

Ongoing research training transformer models at scale

MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

llm

An ecosystem of Rust libraries for working with large language models

DeepSpeedExamples

Example models using DeepSpeed

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Megatron-DeepSpeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

torchtitan

A native PyTorch Library for large model training

kan-gpt

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

FourierKAN

kanrl

Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments

FusedFourierKAN

C++ and Cuda ops for fused FourierKAN

cTorch

A neural network inference lib implemented with STD C. *Experimental*