ashishpapanai

ashishpapanai's Stars

• mlabonne/llm-course

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

  Language:Jupyter Notebook40.3k417694.3k

• Rudrabha/Wav2Lip

  This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

  Language:Python11k1736692.3k

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook10.1k97676979

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9.3k8538874

• Vaibhavs10/insanely-fast-whisper

  Language:Jupyter Notebook7.9k68199552

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.2k50217546

• google-deepmind/graphcast

  Language:Python5.5k93103680

• pytorch/torchtune

  PyTorch native post-training library

  Language:Python4.5k48787468

• whylabs/whylogs

  An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

  Language:Jupyter Notebook2.7k34430121

• roboflow/sports

  computer vision and sports

  Language:Python2.6k5525300

• SeldonIO/alibi-detect

  Algorithms for outlier, adversarial and drift detection

  Language:Jupyter Notebook2.3k41359225

• shaily99/advice

  A repository of links with advice related to grad school applications, research, phd etc

  2.1k371207

• YvanYin/Metric3D

  The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

  Language:Python1.5k27186117

• bgavran/Category_Theory_Machine_Learning

  List of papers studying machine learning through the lens of category theory

  Language:Python1.3k71078

• XPixelGroup/HAT

  CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

  Language:Python1.3k19155158

• lucidrains/tab-transformer-pytorch

  Implementation of TabTransformer, attention network for tabular data, in Pytorch

  Language:Python8311716104

• DS-AI-GATE/dsai-gate

  A Repository consisting resources primarily of the Gate DA and AI

  Language:Jupyter Notebook686265193

• 3DTopia/3DTopia

  Text-to-3D Generation within 5 Minutes

  Language:Python678131446

• solegalli/feature-engineering-for-machine-learning

  Code repository for the online course Feature Engineering for Machine Learning

  Language:Jupyter Notebook37764401

• 1Konny/gradcam_plus_plus-pytorch

  A Simple pytorch implementation of GradCAM and GradCAM++

  Language:Jupyter Notebook3657996

• EFS-OpenSource/calibration-framework

  The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

  Language:Python35075043

• sayakpaul/probing-vits

  Probing the representations of Vision Transformers.

  Language:Jupyter Notebook31710720

• RichardObi/medigan

  medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

  Language:Python14041516

• SamsungLabs/SummaryMixing

  This repository implements SummaryMixing, a simpler, faster and much cheaper replacement to self-attention for automatic speech recognition (see: https://arxiv.org/abs/2307.07421). The code is ready to be used with the SpeechBrain toolkit).

  Language:Python11310311

• eric-ai-lab/PEViT

  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"

  Language:Python97695

• oripress/EntropyEnigma

  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"

  Language:Python46211

• HewlettPackard/cmf

  CMF library helps to collect and store information associated with ML pipelines. It tracks the lineages for artifacts and executions of distributed AI pipelines. It provides API's to record and query the metadata associated with ML pipelines. The framework adopts a data first approach and all artifacts recorded in the framework are versioned and identified by the content hash.

  Language:Python31132414

• mala-lab/ADShift

  Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”

  Language:Python27164

• zhenzhel/lift_map_detect

  The official code release for Unsupervised Out-of-distribution Detection with Diffusion Inpainting (ICML 2023)

  Language:Python24321

• balins/fuzzytree

  A Fuzzy Decision Tree implementation for Python.

  Language:Python16212