arassadin

arassadin's Stars

• labmlai/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, ... 🧠

  Language:Python54.3k4481325.6k

• TencentARC/GFPGAN

  GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

  Language:Python35.6k5034715.9k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.3k444091.5k

• replicate/cog

  Containers for machine learning

  Language:Python7.9k68741549

• bitsandbytes-foundation/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python6.1k501k610

• evidentlyai/evidently

  Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

  Language:Jupyter Notebook5.2k48389579

• ifzhang/ByteTrack

  [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

  Language:Python4.7k43366889

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.6k20974250

• PINTO0309/PINTO_model_zoo

  A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

  Language:Python3.5k114333566

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python3k35531341

• VoltaML/voltaML

  ⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.

  Language:Python1.2k121040

• unum-cloud/ucall

  Web Serving and Remote Procedure Calls at 50x lower latency and 70x higher bandwidth than FastAPI, implementing JSON-RPC & REST over io_uring ☎️

  Language:C1.1k182940

• xl0/lovely-tensors

  Tensors, for human consumption

  Language:Jupyter Notebook1.1k102215

• facebookresearch/CutLER

  Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

  Language:Python922156089

• OML-Team/open-metric-learning

  Metric learning and retrieval pipelines, models and zoo.

  Language:Python8651122762

• wmcnally/kapao

  KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

  Language:Python7492797103

• vinits5/learning3d

  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

  Language:Python7021526104

• pnnx/pnnx

  PyTorch Neural Network eXchange

  Language:Python498149032

• rameau-fr/MC-Calib

  A generic and robust calibration toolbox for multi-camera systems

  Language:C++397104857

• botaoye/OSTrack

  [ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

  Language:Python375411848

• zhaohengyuan1/PAN

  (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.

  Language:Python31781035

• Alibaba-MIIL/ML_Decoder

  Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)

  Language:Python31436752

• facebookresearch/dropout

  Code release for "Dropout Reduces Underfitting"

  Language:Python3116316

• AlexanderLutsenko/nobuco

  Pytorch to Keras/Tensorflow/TFLite conversion made intuitive

  Language:Python25774416

• deepcam-cn/FaceQuality

  An implementation of EQFace: A Simple Explicit Quality Network for Face Recognition (https://arxiv.org/abs/2105.00634, CVPRW 2021)

  Language:Python17851433

• google-research/diffstride

  TF/Keras code for DiffStride, a pooling layer with learnable strides.

  Language:Python123327

• paTRICK-swk/Pose3D-RIE

  The PyTorch implementation for "Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation" (ACM MM2021).

  Language:Python631105

• demidovd98/sm-vit

  Official repository for the paper "Salient Mask-Guided Vision Transformer for Fine-Grained Classification" (VISIGRAPP '23)

  Language:Python19301

• adityajain10/human-detection-using-hog-lbp-neural-networks

  The program uses HOG and LBP features to detect human in images. First, use the HOG feature only to detect humans. Next, combine the HOG feature with the LBP feature to form an augmented feature (HOG-LBP) to detect human. A Two-Layer Perceptron (feedforward neural network) will be used to classify the input feature vector into human or no-human.

  Language:Python12304

• zengxianyu/photometric_optimization

  Photometric optimization code for creating the FLAME texture space and other applications

  Language:Python12102