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🦜🔗 Build context-aware reasoning applications
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Course Files for Complete Python 3 Bootcamp Course on Udemy
A game theoretic approach to explain the output of any machine learning model.
QLoRA: Efficient Finetuning of Quantized LLMs
Learn ML engineering for free in 4 months!
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearn…
code and data for the time series analysis vids on my YouTube channel
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech
Time series forecasting using LSTM in Python
Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with Spark and Ray in the context of a data scientist's standard …
Speech to Text with self-supervised learning based on wav2vec 2.0 framework using Hugging Face's Transformer
In this notebook, I am updating NLP notebooks, and projects
My online shared notebook for Machine Learning notes
AI for Reducing the energy crises in Pakistan using Machine Learning