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Name: Sam Roy
Type: User
Name: Sam Roy
Type: User
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Efficiently computes derivatives of numpy code.
This repository contains the official release of the model "BanglaT5" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaNLG: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla".
Notes for Beginner Network Pentesting Course
Python implementations of contextual bandits algorithms
Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.
Apps built using Inspired Cognition's Critique.
Code accompanying the manuscript "Constructions in combinatorics via neural networks and LP solvers".
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Collection of useful data science topics along with code and articles
A collection of various deep learning architectures, models, and tips
Applying DenseNet model for a classification task on CIFAR and MNIST dataset. Different (Dense net) block sizes are are experimented and compared on tensor board.
Experimental Codes for A Greedy Approach for Budgeted Maximum Inner Product Search
A curated List of Coding Questions Asked in FAANG Interviews
Stack trace visualizer
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
Solve puzzles. Learn CUDA.
unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Memray is a memory profiler for Python
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
Monte Carlo simulations of several different multi-armed bandit algorithms and a comparison with classical statistical A/B testing
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.