Pinned Repositories
300DaysOFMachineLearning-DeepLearning-LLM
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
AI-Bootcamp
Self-paced bootcamp on Generative AI, LLMs & AI Agents
AI-MTHRFCKR
An Awesome Collection of AI Resources, MTHRFCKR!
aiif
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
Algorithmic_Trading_with_Python
This comprehensive, hands-on course provides a thorough exploration into the world of algorithmic trading, aimed at students, professionals, and enthusiasts with a basic understanding of Python programming and financial markets.
AlgorithmicTrading
ML Application of Algorithmic Trading
algotrading-sentimentanalysis-genai
Algorithmic Trading with Sentiment Analysis using GenAI
Shujatali2696's Repositories
Shujatali2696/Reasoning-for-Sentiment-Analysis-Framework
This repository contains code for reasoning with LLMs in Targeted Sentiment Analysis for Russian
Shujatali2696/genai-model-evaluator
Shujatali2696/Orion
A machine learning library for detecting anomalies in signals.
Shujatali2696/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
Shujatali2696/Applied-Generative-AI-and-Natural-Language-Processing-with-Python
Shujatali2696/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Shujatali2696/Vol_GP
GP experiments with implied volatility
Shujatali2696/etna
ETNA – Time-Series Library
Shujatali2696/home-assistant-zonneplan-one
Unofficial Zonneplan ONE + connect integration for Home Assistant
Shujatali2696/com.gruijter.powerhour
Homey app to summarize power meters per hour, day and month
Shujatali2696/gluonts
Probabilistic time series modeling in Python
Shujatali2696/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Shujatali2696/Evaluation-of-Time-Series-Generative-Models
Pipeline for Time Series Generation with Comprehensive Evaluation Metrics
Shujatali2696/chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Shujatali2696/darts
A python library for user-friendly forecasting and anomaly detection on time series.
Shujatali2696/genai-stack
Langchain + Docker + Neo4j + Ollama
Shujatali2696/Generative-AI-for-Everyone
Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what in Can and Can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Training, Implications of GenAI on business & Society.
Shujatali2696/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Shujatali2696/GPT-Fathom
[NAACL'24 Findings] GPT-Fathom is an open-source and reproducible LLM evaluation suite, benchmarking 10+ leading open-source and closed-source LLMs as well as OpenAI's earlier models on 20+ curated benchmarks under aligned settings.
Shujatali2696/llama
Inference code for Llama models
Shujatali2696/Margin-Trader
Shujatali2696/generative-ai-on-aws
Generative AI on AWS
Shujatali2696/GenAI-Projects
A wide curration of open-source projects and applications in the emerging field of generative AI.
Shujatali2696/Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
Shujatali2696/DeepSpeed-Chat-Extension
This repository contains some extensions of deepspeed-chat for fine-tuning LLMs (SFT+RLHF).
Shujatali2696/epf-transformers
Official implementation of "A Transformer approach for Electricity Price Forecasting"
Shujatali2696/DeepOD
Deep learning-based outlier/anomaly detection
Shujatali2696/pycopent
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
Shujatali2696/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
Shujatali2696/CSDI
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"