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Name: Shahi
Type: User
Bio: I code mostly
Name: Shahi
Type: User
Bio: I code mostly
This work demonstrates the use of an LSTM-Autoencoder, implemented using Tensorflow and Keras, to detect anomalies in Timeseries data, using an example of anomalies in the daily closing price of Nifty50, the equity index of the National Stock Exchange.
AutoGPT Telegram Bot is a Python-based chatbot developed for a self-learning project. It leverages the power of OpenAI's GPT language model to answer user questions and maintain conversation history for more accurate responses.
Building and Evaluating Advanced RAG Applications
This repository includes all the Data Preprocessing required before using a dataset on a Machine Learning Model. Please refer README on how to use.
Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.
Jupyter notebooks for course Functions, Tools and Agents with LangChain, taught by Harrison Chase (Co-Founder and CEO at LangChain).
Implementation of Joel Greenblatt's magic formula, which he described in his book - "The Little Book That Still Beats the Market".
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Using OpenCV to detect Lane Lines on a road, one of the most fundamental concepts for building a Self-Driving car.
Langchain Experiments
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Fine tuning a LLaMA 2 model on Finance Alpaca using 4/8 bit quantization, easily feasible on Colab.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
These are resources that i use to provide trainings or lectures on DS ML , Gen Ai , etc
A Netflix recommendation system (suggests 5 titles to watch next based on a title you have watched) written in Python
General Adversarial Network (GANs) experiments using PyTorch
A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Sample solidity projects
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.