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Shauray Singh's Projects

blog.shauray icon blog.shauray

We must know, We will know! Writing what I think about the stuff in the universe

calib-challenge icon calib-challenge

Predicting Yaw and Pitch of a moving vehicle (comma ai) including more stuff that can help make your car drive itself.

clip-gan icon clip-gan

input for the CLIP model is the output of some kind of GAN

continuity icon continuity

contains all the evals not available at lm-eval-harness and layer wise inference for bigger models with GGUF support

conways-game-of-life icon conways-game-of-life

The Game of Life is a cellular-automaton, zero player game, developed by John Conway in 1970. The game is played on an infinite grid of square cells, and its evolution is only determined by it's initial state

ctw icon ctw

investigating and exploring context-tree weighting and Huffman coding

data-centric-ai icon data-centric-ai

A collaboration between DeepLearning.AI and Landing AI, the Data-Centric AI Competition aims to elevate data-centric approaches to improving the performance of machine learning models.

deep-flow-prediction icon deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deep-trading icon deep-trading

implementing machine learning papers to trade and invest in the stock market and crypto market

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dino-and-paws icon dino-and-paws

replicating and improving facebookai's self supervised DINO and Semi supervised PAWS

einops icon einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

error_correction icon error_correction

trying and learning different error correction techniques in a new language

fromthetransistor icon fromthetransistor

From the Transistor to the Web Browser, a rough outline for a 120 day course

gettmore icon gettmore

experimenting with transformer architecture.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

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