List: ML | Curated by Fabrice Daniel

Feb 18, 2025
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ML
In
Level Up Coding
by
Fareed Khan
Building DeepSeek R1 from Scratch Using PythonArchitecture and Training step by step
Feb 17
9
Feb 17
9
In
TDS Archive
by
Benjamin Marie
2-Bit VPTQ: 6.5x Smaller LLMs While Preserving 95% AccuracyVery accurate 2-bit quantization for running 70B LLMs on a 24 GB GPU
Jan 31
1
Jan 31
1
In
InsiderFinance Wire
by
DataScience Nexus
AlphaPy: The Revolutionary Python Library for Algorithmic TradingAlgorithmic trading is no longer reserved for Wall Street quants and data scientists with advanced PhDs. With tools like AlphaPy, anyone…
Jan 10
16
Jan 10
16
In
The Startup
by
Manu Chauhan
A Simple Overview of RNN, LSTM and Attention MechanismRecurrent Neural Networks, Long Short Term Memory and the famous Attention based approach explained
Jan 30, 2021
8
Jan 30, 2021
8
In
Musixmatch Blog
by
Francesco Bonzi
Using AI to detect instrumental tracksFrom the time of Plato, harmony was considered a fundamental branch of physics, now known as musical acoustics. In general, mathematical…
Dec 20, 2021
1
Dec 20, 2021
1
In
Level Up Coding
by
Fareed Khan
Building a Million-Parameter LLM from Scratch Using PythonA Step-by-Step Guide to Replicating LLaMA Architecture
Dec 7, 2023
35
Dec 7, 2023
35
Andreas Kunar
Do we need GPUs/NPUs for local AI?
Nov 15, 2024
4
Nov 15, 2024
4
Manuel
Running Large Language Models (Llama 3) on Apple Silicon with Apple’s MLX FrameworkStep-by-Step Guide to Implement LLMs like Llama 3 Using Apple’s MLX Framework on Apple Silicon (M1, M2, M3, M4)
Jun 10, 2024
4
Jun 10, 2024
4
Alexandre Lavallée
LangChain: Le guide essentielArticle co-écrit avec Ilyes Talbi pour La Revue IA
Apr 26, 2023
Apr 26, 2023
In
TDS Archive
by
Robert Nishihara
10x Faster Parallel Python Without Python MultiprocessingWhile Python’s multiprocessing library has been used successfully for a wide range of applications, in this blog post, we show that it…
May 16, 2019
12
May 16, 2019
12
In
TDS Archive
by
Marco Peixeiro
Hands-On with Moirai: A Foundation Forecasting Model by SalesforceDiscover the architecture and inner workings of Moirai and apply it in a forecasting project using Python
Aug 20, 2024
1
Aug 20, 2024
1
In
TDS Archive
by
Samy Baladram
Random Forest, Explained: A Visual Guide with Code ExamplesMaking tree-mendous predictions with random trees
Nov 7, 2024
6
Nov 7, 2024
6
In
Python in Plain English
by
Abdur Rahman
10 AI-Powered Python Libraries to Boost Your Next ProjectFrom “Eh, pretty cool” to “Wow, how’d you do that?!”
Oct 16, 2024
5
Oct 16, 2024
5
In
TDS Archive
by
W Brett Kennedy
Additive Decision TreesAn interpretable classification and regression model
May 24, 2024
1
May 24, 2024
1
In
TDS Archive
by
Conor O'Sullivan
Explaining Anomalies with Isolation Forest and SHAPIsolation Forest is an unsupervised, tree-based anomaly detection method. See how both KernelSHAP and TreeSHAP can be used to explain its…
Sep 30, 2024
6
Sep 30, 2024
6
In
TDS Archive
by
Marco Peixeiro
Introduction to Causal Inference with Machine Learning in PythonDiscover the concepts and basic methods of causal machine learning applied in Python
Jan 24, 2024
10
Jan 24, 2024
10
In
TDS Archive
by
Lynn G. Kwong
A Quick Introduction to Mojo — a Superset of Python that is Super FastLearn a new sibling language of Python for AI
Jan 22, 2024
9
Jan 22, 2024
9
Semaphore
6 Ways to Run LLMs LocallyCommercial AI and Large Language Models (LLMs) have one big drawback: privacy! We cannot benefit from these tools when dealing with…
Dec 14, 2023
7
Dec 14, 2023
7
In
Towards Dev
by
Kasun Dissanayake
Machine Learning Algorithms(12) — Ensemble techniques (Boosting — Xgboost Classification)This is the 4th article under Ensemble Techniques and if you want to learn more about Ensemble Techniques you can refer to my 1st Ensemble…
Dec 11, 2023
1
Dec 11, 2023
1
In
Python in Plain English
by
DZ
Variational AutoencoderGenerative artificial intelligence is one of the most exciting fields in deep learning. Such networks can generate new data, like image…
Oct 8, 2023
Oct 8, 2023