-
Rensselaer Polytechnic Institute
- Troy, NY
-
11:47
(UTC -05:00) - nafis-neehal.github.io
Stars
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…
Simple, unified interface to multiple Generative AI providers
A search engine dedicated to CS conferences. It provides useful filters for conferences and year range.
Neo4j graph construction from unstructured data using LLMs
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Collection of leetcode company tag problems. Periodically updating.
A simple Langchain RAG application.
Python3 interview prep cheatsheet and examples
A Cheat Sheet 📜 to revise Python syntax. Particularly useful for solving Data Structure and Algorithmic problems with Python.
⏰ AI conference deadline countdowns
Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model
🎵 A Mac app wrapper for music.youtube.com
This repository is used for my ECG Based Authentication work. Work Duration December 2017 - March 2018.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
pca: A Python Package for Principal Component Analysis.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
This is the repository I used for my CloudPOA code in Amazon AWS environment.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!