gstoica27's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
tensorflow/models
Models and examples built with TensorFlow
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
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
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
yenchenlin/nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
thunlp/NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
jeonsworld/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
wyharveychen/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
openai/blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Lynten/stanford-corenlp
Python wrapper for Stanford CoreNLP.
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
microsoft/Focal-Transformer
[NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
tatp22/multidim-positional-encoding
An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow
marcellodebernardi/loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
MILVLG/bottom-up-attention.pytorch
A PyTorch reimplementation of bottom-up-attention models
MasazI/cnn_depth_tensorflow
depth estimation using tensorflow
TACJu/PartImageNet
Introduction and scripts for the paper "PartImageNet: A Large, High-Quality Dataset of Parts" (Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Alan Yuille).
goel-shashank/CyCLIP
zhangbq-research/Prototype_Completion_for_FSL
KellerJordan/REPAIR
Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
dvida/cyoptics-clustering
Fast OPTICS clustering in Cython + gradient cluster extraction
otiliastr/coper
Contextual Parameter Generation for Knowledge Graph Link Prediction