chiranthancv95
Machine Learning Enthusiast with a keen intention of making a better world possible through coding!
Bengaluru, Karnataka, India
chiranthancv95's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
mlflow/mlflow
Open source platform for the machine learning lifecycle
onnx/onnx
Open standard for machine learning interoperability
facebookresearch/detr
End-to-End Object Detection with Transformers
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
brython-dev/brython
Brython (Browser Python) is an implementation of Python 3 running in the browser
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
daquexian/onnx-simplifier
Simplify your onnx model
tamarott/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
google-research/kubric
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
lilipads/gradient_descent_viz
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
onnx/optimizer
Actively maintained ONNX Optimizer
mortezamg63/Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch
decile-team/cords
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
yhhhli/BRECQ
Pytorch implementation of BRECQ, ICLR 2021
yrcong/RelTR
RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2
Oulu-IMEDS/pytorch_bn_fusion
Batch normalization fusion for PyTorch
Xilinx/graffitist
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
yikuan8/Transformers-VQA
An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER
yan-hao-tian/ConTNet
This repo contains the code of "ConTNet: Why not use convolution and transformer at the same time?"
ChoiDM/Pytorch_BN_Fold
Batch Normalization Folding (Fusion of Conv and BN) in Pytorch
theschoolofai/YoloV3
YoloV3 Sample