OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
- object-detection
- pytorch
- yolo
- yolov5
Repository Index
66,762 visible repositories in the index
553–576 of 1,072 · Most stars
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
- artificial-intelligence
- deep-learning
- pytorch
- text-to-image
An unnecessarily tiny implementation of GPT-2 in NumPy.
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
A Doctor for your data
- data
- data-centric-ai
- data-centric-machine-learning
- data-curation
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
- deepctr
- ctr-models
- deep-learning
- deepctr-pytorch
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
- caffe
- colorization
- automatic-colorization
- deep-learning
GeoAI: Artificial Intelligence for Geospatial Data
- ai
- data-science
- geoai
- geopython
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
The next generation deep reinforcement learning tookit
- reinforcement-learning
- transfer-learning
- deep-learning
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
- deep-reinforcement-learning
- pytorch
- reinforcement-learning
- machine-learning
Modularized Implementation of Deep RL Algorithms in PyTorch
- pytorch
- deep-reinforcement-learning
- dqn
- dueling-network-architecture
A high-performance distributed training framework for Reinforcement Learning
- reinforcement-learning
- large-scale
- parallelization
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
- agentic
- rlhf
- rlvr
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
Hidden Markov Models in Python, with scikit-learn like API
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
- deep-learning
- machine-learning
- nvidia-gpu
- physics
0 - 1 learn OpenClaw: sections to build an claw-AI agent from scratch
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
- gpt-4
- visual-language-learning
- artificial-inteligence
- deep-learning
[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
Awesome work on hand pose estimation/tracking
- computer-vision
- hand-pose-estimation
- deep-learning
- human-computer-interaction
Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures
- algorithms
- problem-solving
- data-structures
- python
Semantic Segmentation Architectures Implemented in PyTorch
- pytorch
- semantic-segmentation
- deep-learning
- fully-convolutional-networks