jaswindersingh2

jaswindersingh2's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  310k8.4k50777.5k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook41.2k426694.4k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.9k2342753.2k

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python21.1k1581.6k2.3k

• fastapi/typer

  Typer, build great CLIs. Easy to code. Based on Python type hints.

  Language:Python16.2k78329684

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook13.6k794201.3k

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.8k1192073.4k

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.9k856641.7k

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.8k1434551.5k

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python4.3k36216374

• huggingface/autotrain-advanced

  🤗 AutoTrain Advanced

  Language:Python4.2k80575516

• JunMa11/SegLossOdyssey

  A collection of loss functions for medical image segmentation

  Language:Python3.9k9847605

• microsoft/torchgeo

  TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

  Language:Python3.2k54455382

• rasterio/rasterio

  Rasterio reads and writes geospatial raster datasets

  Language:Python2.3k1451.8k535

• roboflow/awesome-openai-vision-api-experiments

  Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

  Language:Python1.7k265134

• hkchengrex/Tracking-Anything-with-DEVA

  [ICCV 2023] Tracking Anything with Decoupled Video Segmentation

  Language:Python1.3k16112128

• OpenGVLab/SAM-Med2D

  Official implementation of SAM-Med2D

  Language:Jupyter Notebook917137388

• awesome-spectral-indices/awesome-spectral-indices

  A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

  Language:Python9082855147

• liliu-avril/Awesome-Segment-Anything

  This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

  87522758

• lxtGH/Awesome-Segmentation-With-Transformer

  [T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey

  71810548

• microsoft/PlanetaryComputerExamples

  Examples of using the Planetary Computer

  Language:Jupyter Notebook3882044189

• NASA-IMPACT/hls-foundation-os

  This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

  Language:Jupyter Notebook329115283

• IBM/terratorch

  a Python toolkit for fine-tuning Geospatial Foundation Models (GFMs). https://ibm.github.io/terratorch/

  Language:Python215149133

• ibaiGorordo/ONNX-SAM2-Segment-Anything

  Python scripts for the Segment Anythin 2 (SAM2) model in ONNX

  Language:Python20371414

• facebookresearch/ssl-data-curation

  PyTorch code for hierarchical k-means -- a data curation method for self-supervised learning

  Language:Jupyter Notebook14027610

• isaaccorley/torchseg

  Segmentation models with pretrained backbones. PyTorch.

  Language:Python1076229

• RobvanGastel/dinov2-finetune

  Testing adaptation of the DINOv2 encoder for vision tasks with Low-Rank Adaptation (LoRA)

  Language:Jupyter Notebook1052510

• aehrc/cxrmate

  CXRMate: Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation

  Language:Python1510173

• clementbernardd/medium_tutorials

  Language:Python20

• meilanglang/RNA-RNA-Interaction

  benchmark of RNA-RNA interaction

  Language:Python2