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Technical University of Munich
- https://www.linkedin.com/in/sumukhashridhar/
- https://www.kaggle.com/sumukhahegde/competitions
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Technical Analysis Indicator Function Library in C
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
A high-throughput and memory-efficient inference and serving engine for LLMs
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.
UCSD ECE277 GPU Programming coursework: GPU-accelerated reinforcement learning on CUDA C with Nsight System
Notes, material and various stuff collected while attended TUM Master's Degree
Add a stalin sort algorithm in any language you like ❣️ if you like give us a ⭐️
A comparison study between sequential sorting algorithms implemented in C++ and parallel sorting algorithms implemented in CUDA as part of the master's thesis.
Tracking RISC-V Actions on Education, Training, Courses, Monitorships, etc.
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
Parallelisation of standard algorithms using CUDA
Kernels for attention and other diffusion specific tasks.
How to be low-level programmer
Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO
This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.
CNN based autoencoder combined with kernel density estimation for colour image anomaly detection / novelty detection. Built using Tensforflow 2.0 and Keras
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …