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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch - fork with video pseudo3d
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
Repo for my Master Thesis at ULiège in 2019 (Machine learning under resource constraints)
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
learning multi-domain convolutional neural networks for visual tracking(MDnet) implementation
Self-contained, minimalistic implementation of diffusion models with Pytorch.
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
Data Preparation, Processing, and Visualization for MoVi Data
MVCNN on PyTorch
MySQL Answers for Coursera "Introduction to Databases" assignments on mysql
OpenCV <=> NumPy Converter using Boost::Python
OpenMMD is an OpenPose-based application that can convert real-person videos to the motion files (.vmd) which directly implement the 3D model (e.g. Miku, Anmicius) animated movies.
Recipes for using Python's pandas library
UPenn CIS 526
A repository for coding and machine learning questions
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Simple examples to introduce PyTorch
Minimal tutorials for PyTorch
FastAI PyTorch Serverless API (w/ AWS Lambda)
PyTorch Tutorial for Deep Learning Researchers
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
The dataset is used to train my own raccoon detector and I blogged about it on Medium
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
Library to plot graphs using a scala frontend, and various backends such as gnuplot, jfreegraph, matplotlib, etc.
A couple of utilities that can be used with Stanford Drone Dataset
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.