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Build agents which are controlled by LLMs

allRank is a framework for training learning-to-rank neural models based on PyTorch.

Pretrained model hub for Keras 3.

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

Deep Learning for Coders, 2020, the website

自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

ML powered analytics engine for outlier detection and root cause analysis.

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests

Quickly format your notes with ChatGPT in Obsidian

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

QKeras: a quantization deep learning library for Tensorflow Keras

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Data Preparation for Satellite Machine Learning

Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

A curated list of all machine learning algorithms and deep learning algorithms grouped by category.

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

tsl: a PyTorch library for processing spatiotemporal data.

Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

AutoVideo: An Automated Video Action Recognition System

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Rapid satellite imagery object detection

A deep learning framework built on an autograd engine with high level abstractions and low level control.